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Phys 710 "Quantum Machine Learning for Physicists"

These are the lecture notes and Hands-on sessions for Phys710 Lecture in METU Physics. These lectures are a mix of Qiskit Machine Learning book, our book and some exercises. They consist of a series of Jupyter notebooks.

Local Execution

For running these locally, you'll need:

1. Conda
2. git (optionally a github account)
3. (optional) an IDE (like Dataspell or PyCharm)
4. (optional) A server with GPUs
5. Create a conda environment that runs python and has packages qiskit-machine-learning, jupyter
6. go to course github page and clone the repository (you'll need to pull the updates at each lecture)

Remote Execution

This is a work in progress.

Here are the shortcuts for opening them in Google Colab

• Lecture 1
• Lecture 2
• Lecture 3
• Lecture 4
• Lecture 5
• Lecture 6
• Lecture 7
• Lecture 8